King, S., Ozen, I., Subramani, K., Senthivel, S., Vadrevu, P., & Perdisci, R. (2025,
December). PP3D: An in-browser vision-based defense against web behavior manipulation
attacks. In Annual Computer Security Applications Conference (ACSAC) (pp. 719-735).
Chand, A., Nikiforakis, N., & Vadrevu, P. (2025, August). Doubly dangerous: Evading
phishing reporting systems by leveraging email tracking techniques. In USENIX Security
Symposium (pp. 3181-3200).
Nguyen, H. D., Dhungana, S., Itha, M., & Vadrevu, P. (2025, August). "Please don't
send that bot anything": A mixed-methods study of personal impersonation attacks targeting
digital payments on social media. In USENIX Security Symposium (pp. 4859-4878).
Nguyen, H. D., & Vadrevu, P. (2025, April). Breaking the shield: Analyzing and attacking
canvas fingerprinting defenses in the wild. In Proceedings of the ACM Web Conference
(WWW) (pp. 4336-4345).
Acharya, B., Saad, M., Cina, A. E., Schonherr, L., Nguyen, H. D., Oest, A., Vadrevu,
P., & Holz, T. (2024, May). Conning the crypto conman: End-to-end analysis of cryptocurrency-based
technical support scams. In 2024 IEEE Symposium on Security and Privacy (SP) (pp.
17-35). IEEE.
Nguyen, H. D., Subramani, K., Acharya, B., Perdisci, R., & Vadrevu, P. (2024, May).
C-Frame: Characterizing and measuring in-the-wild CAPTCHA attacks. In 2024 IEEE Symposium
on Security and Privacy (SP) (pp. 277-295). IEEE.
Liu, J., Pun, P., Vadrevu, P., & Perdisci, R. (2023, July). Understanding, measuring,
and detecting modern technical support scams. In 2023 IEEE European Symposium on Security
and Privacy (EuroS&P) (pp. 18-38).
Acharya, B., & Vadrevu, P. (2022, June). A human in every APE: Delineating and evaluating
the human analysis systems of anti-phishing entities. In Detection of Intrusions and
Malware, and Vulnerability Assessment (DIMVA) (pp. 156-177).
2023: ACM CCS 2023: Top Reviewer Award
2020: Vulnerability Research Award for "Abuse-related methodologies" from Google.
$5,000 Awarded for research work that discovered issues in Google's anti-phishing
systems.
2020-2022: 9 Vulnerability Research Grants Awarded for discovering new "abuse-related
methodologies, $7,133 awarded.
2021: Source: National Science Foundation (NSF), Title: Collaborative Research SaTC:
CORE: Medium: Defending Against Social Engineering Attacks with In-Browser AI, PI:
Phani Vadrevu, Total Award: $1,199,745, Award Share: $399,979.
2022: Source: National Science Foundation (NSF), Title: REU Supplement for Collaborative
Research SaTC: CORE: Medium: Defending Against Social Engineering Attacks with In-Browser
AI, $16,000.
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